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Team:BrownTwo/Limiter/modeling
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In contrast to pure experimentation, modeling allows for the rational design of synthetic biological systems. Part characterization makes it possible to apply the known activity of genetic parts to developing a prediction their qualitative behavior when they are pieced together into a composite device. Such an approach was aptly demonstrated in the paper by Dr. Ajo-Franklin. They utilized a Hill equation model for their system to and then experimentally verified their expectations. | In contrast to pure experimentation, modeling allows for the rational design of synthetic biological systems. Part characterization makes it possible to apply the known activity of genetic parts to developing a prediction their qualitative behavior when they are pieced together into a composite device. Such an approach was aptly demonstrated in the paper by Dr. Ajo-Franklin. They utilized a Hill equation model for their system to and then experimentally verified their expectations. | ||
| - | Seeing as we incorporating many of the same parts into our own limiter network, we decided to modify their Hill equations to suit our particular design. It was important for us to model our system because were were uncertain, given the complexity of the transcriptional interactions, whether our design would generate our desired threshold-driven output. | + | Seeing as we incorporating many of the same parts into our own limiter network, we decided to modify their Hill equations to suit our particular design. It was important for us to model our system because were were uncertain, given the complexity of the transcriptional interactions, whether our design would generate our desired threshold-driven output. |
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| + | -tuning response | ||
| + | -dynamic behavior? | ||
==Hill equation== | ==Hill equation== | ||
Revision as of 07:23, 28 October 2008
Motivation for ModelingIn contrast to pure experimentation, modeling allows for the rational design of synthetic biological systems. Part characterization makes it possible to apply the known activity of genetic parts to developing a prediction their qualitative behavior when they are pieced together into a composite device. Such an approach was aptly demonstrated in the paper by Dr. Ajo-Franklin. They utilized a Hill equation model for their system to and then experimentally verified their expectations. Seeing as we incorporating many of the same parts into our own limiter network, we decided to modify their Hill equations to suit our particular design. It was important for us to model our system because were were uncertain, given the complexity of the transcriptional interactions, whether our design would generate our desired threshold-driven output. -tuning response -dynamic behavior? Hill equationAccording to a Hill equation, it is possible to model the relationship between a gene (G) and its transcription factor. The equation varies slightly depending upon whether the transcription factor has an activating or inhibitory effect.
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